EIDP, Inc. (CTA-PB) Accumulated Expenses (2009 - 2019)
Eidp (CTA-PB) posted Accumulated Expenses of $4.4 billion for Q1 2019, up 6.5% from $4.13 billion a year earlier and up 3.9% from the prior quarter.
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Analysis
EIDP, Inc. (CTA-PB) Accumulated Expenses (2009 - 2019) Analysis & Trends
At the end of FY2018, Eidp's Accumulated Expenses came in at $4.23 billion, down 3.4% from FY2017.
- Annual Accumulated Expenses has declined for five consecutive years, with a five-year compound annual growth rate of -7.4% (FY2013 to FY2018).
- In prior years, Eidp's Accumulated Expenses was $4.38 billion in FY2017 (-6.0%), $4.66 billion in FY2016 (-16.5%), $5.58 billion in FY2015 (-0.3%) and $5.6 billion in FY2014 (-10.0%).
- The Q1 2019 figure stands as the highest quarterly Accumulated Expenses since Q4 2016.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2019, with growth of 6.5%; the weakest was Q3 2015, with a decline of 19.9%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $4.23 billion (Q4 2018), $2.61 billion (Q3 2018) and $3.02 billion (Q2 2018).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 4.40 Bn |
| Dec 31, 2018 | 4.23 Bn |
| Sep 30, 2018 | 2.61 Bn |
| Jun 30, 2018 | 3.02 Bn |
| Mar 31, 2018 | 4.13 Bn |
| Dec 31, 2017 | 4.38 Bn |
| Jun 30, 2017 | 4.06 Bn |
| Mar 31, 2017 | 4.31 Bn |
| Dec 31, 2016 | 4.66 Bn |
| Sep 30, 2016 | 3.13 Bn |
| Jun 30, 2016 | 3.68 Bn |
| Mar 31, 2016 | 4.39 Bn |
| Dec 31, 2015 | 5.58 Bn |
| Sep 30, 2015 | 3.17 Bn |
| Jun 30, 2015 | 4.05 Bn |
| Mar 31, 2015 | 4.75 Bn |
| Dec 31, 2014 | 5.60 Bn |
| Sep 30, 2014 | 3.96 Bn |
| Jun 30, 2014 | 4.23 Bn |
| Mar 31, 2014 | 4.81 Bn |
API Access
EIDP, Inc. Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=CTA-PB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CTA-PB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=CTA-PB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();